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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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, cancer cells and stem-cell based methodologies. The successful candidate will join a collaborative and interdisciplinary project which integrates cancer biology, stem cells, organoids, microscopy
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stem-cell based methodologies. Research projects will involve the use of organoids in virology and to conduct high throughput testing of therapies. The successful candidate will join a collaborative and
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for extension based on performance and funding availability. The position is immediately available. Review of applications will continue until the position is filled. The initial appointment will be for one year
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to incorporate these methods into models based on systematic testing and validation relative to current and historical data. This position will work closely with Virginia’s Land Use-Value Assessment Program
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; generating CFD datasets using new models for specific applications. This position is based at Virginia Tech's main campus in Blacksburg, VA and offers opportunities for teaching and service-related activities
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding of malignant
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, DC area; understand the human and animal-related factors that impact pet retention and relinquishment in these communities; develop and implement evidence-based, animal behavior-related interventions